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Experts’ dismissal of Tesla’s Full Self Driving push proves Elon Musk is still not taken seriously
Despite delays, Elon Musk remains optimistic that Tesla’s efforts to achieve Full Self Driving will bear fruit soon. This was highlighted in a statement during his appearance at the recently held 2020 World Artificial Intelligence Conference in China, where he noted that Tesla is closing in on “Level 5” functionalities. Experts in the field of automation beg to differ.
In a recent statement to Automotive News, Sam Abuelsamid, principal analyst at Guidehouse Insights (formerly Navigant Research) and Missy Cummings, director of the Humans and Autonomy Laboratory at Duke University, openly dismissed Tesla’s efforts to achieve full self driving. In a scathing rebuke, Abuelsamid described Musk’s targets as absurd. He also expressed his pessimism about Tesla’s approach to automation, which focuses on vision and artificial intelligence.
“The cars they are building will never be Level 5, period. It’s nonsense. He needs to shut up until he can deliver something. The premise of making highly automated systems on cameras alone is fundamentally flawed. Their approach to software doing end-to-end AI systems is almost certainly not going to work. I don’t believe it can work. AI is too brittle,” he said.
It should be noted that Abuelsamid recently published a study ranking companies that are currently pursuing autonomy. Similar to studies conducted by Guidehouse Insights when it was still operating as Navigant Research, Abuelsamid ranked Tesla dead last, even behind startups like Navya, which have limited real world driving data.
Abuelsamid’s sentiments were echoed by Missy Cummings, who also argued that there is no way that Tesla could achieve Level 5 autonomy with its vehicles. In a statement to KCBS Radio, Cummings noted that Elon Musk likely does not understand what Level 5 Automation really is. This is an interesting comment from the director of the Humans and Autonomy Laboratory at Duke University, considering that Waymo CEO John Krafcik noted last year that ultimately, “Level 5 is a bit of a myth.”
“There is no way, shape, or form the car is going to be Level 5. He doesn’t really understand what Level 5 is. I think what he means is Level 4, and he’s not even going to get Level 4. The perception systems don’t work well in weather conditions, with long shadows. We know the Tesla perception system, and the news is it’s a really bad system,” she remarked.
While there is some merit in criticizing the Tesla CEO for missing his targets with regards to the release of the electric car maker’s full self driving system, it seems far too careless to simply dismiss all the work that Tesla has accomplished over the years either. The company, after all, is gathering real world driving data at an unprecedented scale that’s unrivaled by companies like Waymo, and that matters much when it comes to training neural networks, as emphasized by ARK Invest CEO Cathie Wood. Tesla’s vision based approach to autonomy has also gained support from notable names such as George Hotz, who believes that Tesla would eventually become the Apple of self driving cars.
It is unfortunate, but based on the dismissive and almost aggressive rebuke of Tesla’s efforts from the experts tapped by Automotive News, it appears there is still a general tendency to completely dismiss Elon Musk and his initiatives. Interestingly enough, these statements are pretty familiar to those who have followed the SpaceX and Tesla story over the years. It may be difficult to recall at this point, but there was a time when it was believed that landing the Falcon 9 first stage on land and an autonomous barge on the sea is impossible. There was also a time when the Model X was considered unbuildable.
Fortunately, Tesla and its CEO are a stubborn bunch, and it takes a lot more than skepticism to discourage the company. This is especially notable considering that Tesla is currently looking to roll out a massive rewrite of its Autopilot suite, which should take the company even closer to full self driving. Perhaps this time around, Elon Musk’s statements about Level 5 Autonomy may actually be pretty accurate, at least in terms of its features and timeframe.
“I’m extremely confident that level five or essentially complete autonomy will happen, and I think, will happen very quickly,” said Musk, answering another question. I think at Tesla, I feel like we are very close to level five autonomy. I think—I remain confident that we will have the basic functionality for level five autonomy complete this year,” Musk said at the 2020 WAIC.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
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A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
Investor's Corner
SpaceX is launching a secret spacecraft that could change how things are made in space
SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.
SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.
What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly 10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.
The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.
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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.
The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.
SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.
If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.
The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.
The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:
Spotted the new semi adorned with ground truthing equipment. Haven’t seen anyone post this so figured I’d share.
The future is autonomous!!@SawyerMerritt @wholemars pic.twitter.com/qkPDHPUQZ6
— Danny (@dannywinner1) June 21, 2026
The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.
There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.
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The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.
There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.
Tesla just trademarked MEGAPOD: here’s what it is
SpaceX is launching a secret spacecraft that could change how things are made in space
